| I have several [http://en.wikipedia.org/wiki/PlayStation_Eye Sony PlayStation Eye web cams] and I have examples of how to pull video from them via V4L2 ([[ECE497 DaVinci Workshop Labs]]). The Eye also has a 4 microphone array. I don't know how to get audio from it. Figure out how. This may expand to a full project if there is no solution out there.

| Find some examples of how to use '''cmem'''. CMEM is an API and library for managing one or more blocks of physically contiguous memory. It also provides address translation services (e.g. virtual to physical translation) and user-mode cache management APIs. It's used for managing the shared memory between the ARM and the DSP on the processor. I've been unable to find examples of how to use it.

| Connect to your beagleboard using ethernet over USB. This allows your beagleboard to share the host computer's internet connection and allow you to connect via VNC/ssh without the need for an external router/switch. This should make development much easier.

| Experiment with audio synthesis and/or sampling/processing. You could either synthesize and play a few tones to generate a song, or have the Beagle sample an audio signal then process and output it to create a sort of effects pedal.

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| David McGinnis

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| David McGinnis

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| Look into connecting the beagleboard to a phone or headphones using bluetooth. This could involve either outputting audio and taking in audio from a bluetooth headset, allowing you to have audio I/O with the beagleboard, or could involve connecting with phones automatically as they come into range of the beagleboard, allowing for an automatic attendence registration system, among other things.

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| David Bliss

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| Get a video stream from a PS Eye, and identify the relevant device files.

| Depending on what one is working on, it might be useful to mount the BeagleBoard root filesystem over NFS. The link to the right does that using a USB-Ethernet connection, but one that just runs over an Ethernet cable would be nice.

| Investigate Eigen. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. Explicit vectorization is performed for SSE 2/3/4, ARM NEON, and AltiVec instruction sets, with graceful fallback to non-vectorized code. This means it should run fast on the Beagle. How fast does it run? Has anyone used it on the Beagle?

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| Port TI's fixed-point speech recognizer to the DSP. It currently runs on the ARM.

| Find what libraries are available for the DSP side of the DM 3730 and write some examples that use them.

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| [http://hackaday.com/2010/11/15/rendering-a-3d-environment-from-kinect-video/ Here] and [http://gamerfront.net/2010/12/with-a-second-kinect-you-can-map-out-your-bedroom-in-3d/4644 here] are some interesting things people are doing with Kinects. Maybe we could port it to the Beagle.

|Create a real-time audio Spectrum analyzer on the BeagleBoard. My realtime demo does much of this. You could initially find a JavaScript fft routine and have the browser to the computations.

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[http://elinux.org/ECE497_Project_Spectrum_Analyzer Project Page]

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| Mark A. Yoder

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| Dig into the DSS drivers. The OMAP display subsystem supports rotation and mirroring, but the '''mirror''' and '''rotate''' files in '''/sys/devices/platform/omapdss/display''' ''X'' don't work. Find the code that implements them see if you can figure out what's wrong.

| Install an RT kernel on beagleboard. If successful, this could turn into a full project for exploring RT system and application.

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| Jack Ma

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| Interface beagleboard with a GPS device to read location information. If successful, see if it's possible build a (small) app that downloads appropriate map from google map and shows the beagleboard's location.

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| Jack Ma

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| Install a VPN server on beagleboard.

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| Guanqun Wang

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| Run beagle board with a small LCD display

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| Yifei Li

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| Demo a BeagleLight program that could synchronize LEDs with music.

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| http://processors.wiki.ti.com/index.php/BeagleLight

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| Yuming Cao

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| Yuming Cao

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| Make beagleboard make a phone call

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| http://www.youtube.com/watch?v=uVCx1S8RLfs&feature=related

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| Mona Yan

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| Mona Yan

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| Display BeagleBoard orientation by using accelerometer and opengl.

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| Jack Ma

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| Automatically start VNC service after login on BeagleBoard.

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== Full Projects ==

=== Winter 2011-2012 ===

=== Winter 2011-2012 ===

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Line 178:

| Run classic pong, projecting the screen and using a camera to track user's hands for input.

| Run classic pong, projecting the screen and using a camera to track user's hands for input.

| Find some examples of how to use '''cmem'''. CMEM is an API and library for managing one or more blocks of physically contiguous memory. It also provides address translation services (e.g. virtual to physical translation) and user-mode cache management APIs. It's used for managing the shared memory between the ARM and the DSP on the processor. I've been unable to find examples of how to use it.

| Investigate Eigen. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. Explicit vectorization is performed for SSE 2/3/4, ARM NEON, and AltiVec instruction sets, with graceful fallback to non-vectorized code. This means it should run fast on the Beagle. How fast does it run? Has anyone used it on the Beagle?

Revision as of 10:56, 19 February 2013

Mini projects involved finding something interested in the Beagle world and installing it to your beagle and demoing it to the class. You would also create a wiki page documenting what you did to get it installed. Often you may find multiple efforts do to something, for example there are a few efforts to port Android on the Beagle. Your task is to figure out which one should be used. Generally mini projects won't require you to write new code; however they are the background work that may lead to a full project. You should do a couple mini projects for the class. Generally they are done alone, but working in pairs is OK. These will be about 1/3 of your grade and should be done in the first 5 weeks or so.

Only one full project is done for the class and it's done with a team of 3 or 4. These projects can take a mini project (or a whole new idea) and add to it. The goal is to have your work contribute to the open source world. Any code is generated will be kept on github and a bitbake receipt will be created to automatically download and create the object files.

What follows are

Places to look for project ideas

Feel free to add your own suggestions.

Mini Project ideas

Add your own suggestions, and do some of them. Mark the ones you've done.

Port TI's fixed-point speech recognizer to the DSP. It currently runs on the ARM.

Mark A. Yoder

Kinect

Here and here are some interesting things people are doing with Kinects. Maybe we could port it to the Beagle.

Mike Lester

Accelerometer-based auto-leveled projection

Several projects have been started to add accelerometer support to the BeagleBoard. This project would involve getting an accelerometer installed and working, perhaps using a trainer board, as well the TI Pico Projector. The orientation data from the accelerometer would be used to rotate, skew, keystone the projected image in order to keep it level and normalized.

Aaron Bamberger

Kinect Based 3d Scanner

Build some sort of motorized gantry that allows the Kinect to be rotated around (and possibly from top to bottom) of an arbitrary object. The motors would be controlled using the BeagleBoard's I2C or SPI interfaces. Use libfreenect to capture depth information from every side of the object as the Kinect rotates around the object. Use this data and OpenGL to build a 3d model of the scanned object

Mark A. Yoder

Port winDSK6 to the Beagle

winDSK6 is a Windows program that talks to a TI 'C6711 DSK and performs many interesting audio effects. This project would implement the code running on the Windows side on the ARM. The ARM could capture a frame of audio and send it to the DSP for processing. The ARM could then send the processed audio to the speakers. c6run would be used to interact with the DSP.

David Bliss

Automated Die Tester

Make a device that can roll a die, and keep statistics on how random the die is. The build can either be very complex, or very simple, depending on how you define "rolling a die". The software doesn't necessarily have to know what the numbers mean, it just has to be able to uniquely identify the sides.

Stephen Mayhew

Set-Playing System

Set is a relatively simple card game that lends itself nicely to image recognition and computer play. The layout is not very structured, and the game play is pretty simple. This project would incorporate image recognition, projection of possible moves (using the pico projector), and maybe even speech synthesis, and recognition. For example, if someone didn't know how to play Set, then the board could take them through a tutorial, asking questions of the user as it went along ("If I have these 2 cards, what 3rd card would make a set?"). This would make for an interesting demo at conferences.

2010

This project is mostly software, with the hardware element being the use of the dsp. The idea is to tie together three technologies: speech recognition, speech synthesis, and internet access in order to create an interface capable of orating information to the user based on a vocal command. The implementation I have in mind is to use the Pocket Sphinx speech recognition engine to first understand what the user wants through speech, such as "Rose-Hulman". Once the speech is translated, the software can execute a Wikipedia search to pull said item's page. Most of the important info is contained within the introductory paragraph, so the software will take only that chunk and feed it into the Flite speech synthesis engine. The end result is a simple machine with "mother box" like usability, that is, no interaction besides what is natural to the user (speaking) should be necessary to retrieve the information.

This project would simulate a hand-held chess game, and the game would allow two player games using two beagleboards over a network connection. The graphics would use the beagle's PowerVR SGX for hardware accelerated graphics by using OpenGL. In addition to 3D graphics and networking, a third portion of the project would be to optimize the boot time because a chess computer should start up quickly.

The goal of this project is to create a robot capable of competing in the 3.0 kg weight class of a sumo competition (an example). This would have minor hardware and electronics elements, but would focus on communication with sensors using the BeagleBoard and the Linux kernel. At minimum, this involves sensors to detect the edge of the ring and the opposing robot. This would likely be implemented using Sharp IR rangefinders, a ultrasonic rangefinders, and ideally a camera. Sumo rules.

Network based mp3 player. The Beagle will be programmed using a custom, protocol for transferring files from a network based server (x86 pc) to a Beagle. Speakers will be attached to the Beagle, where the file will be played back. Possible extensions are a LCD for displaying id3 tag information, and buttons for user interaction (next track, previous track, etc.) on the GPIO interface.

Sensory aware applications are becoming more mainstream with the release of the Apple iPhone. This project would combine both HW and SW to add sensory awareness to beagle. First, additional modules such as GPS, 3-axis accelerometers, Gyroscopes, Temperature Sensors, Humidity Sensors, Pressure Sensors, etc, would be added to beagle to compliment the microphone input in order to allow sensing of the real world environment. Then SW APIs would need to be layered on top to allow easy access to the sensory data for use by applications.

Find some examples of how to use cmem. CMEM is an API and library for managing one or more blocks of physically contiguous memory. It also provides address translation services (e.g. virtual to physical translation) and user-mode cache management APIs. It's used for managing the shared memory between the ARM and the DSP on the processor. I've been unable to find examples of how to use it.

Investigate Eigen. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. Explicit vectorization is performed for SSE 2/3/4, ARM NEON, and AltiVec instruction sets, with graceful fallback to non-vectorized code. This means it should run fast on the Beagle. How fast does it run? Has anyone used it on the Beagle?